Jana Diesner

2.1k total citations
82 papers, 976 citations indexed

About

Jana Diesner is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Sociology and Political Science. According to data from OpenAlex, Jana Diesner has authored 82 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 21 papers in Statistical and Nonlinear Physics and 19 papers in Sociology and Political Science. Recurrent topics in Jana Diesner's work include Topic Modeling (21 papers), Complex Network Analysis Techniques (20 papers) and Advanced Text Analysis Techniques (18 papers). Jana Diesner is often cited by papers focused on Topic Modeling (21 papers), Complex Network Analysis Techniques (20 papers) and Advanced Text Analysis Techniques (18 papers). Jana Diesner collaborates with scholars based in United States, Bulgaria and Germany. Jana Diesner's co-authors include Kathleen M. Carley, Terrill L. Frantz, Shubhanshu Mishra, Jinseok Kim, Jeffrey Reminga, Maksim Tsvetovat, Vetle I. Torvik, Hee‐Jun Kim, Nancy J. Cooke and Jamie C. Gorman and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Decision Support Systems.

In The Last Decade

Jana Diesner

71 papers receiving 900 citations

Peers

Jana Diesner
Alex Voß United Kingdom
Xiaolin Shi United States
Jin‐Cheon Na Singapore
Guang Yu China
Antonios Garas Switzerland
Martin Szomszor United Kingdom
Wei Lu China
Jin Mao China
Jana Diesner
Citations per year, relative to Jana Diesner Jana Diesner (= 1×) peers Pawan Goyal

Countries citing papers authored by Jana Diesner

Since Specialization
Citations

This map shows the geographic impact of Jana Diesner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jana Diesner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jana Diesner more than expected).

Fields of papers citing papers by Jana Diesner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jana Diesner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jana Diesner. The network helps show where Jana Diesner may publish in the future.

Co-authorship network of co-authors of Jana Diesner

This figure shows the co-authorship network connecting the top 25 collaborators of Jana Diesner. A scholar is included among the top collaborators of Jana Diesner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jana Diesner. Jana Diesner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Lee, Aejin, et al.. (2024). LERCause: Deep learning approaches for causal sentence identification from nuclear safety reports. PLoS ONE. 19(8). e0308155–e0308155. 1 indexed citations
4.
Neal, Zachary P., Zack W. Almquist, James P. Bagrow, et al.. (2024). Recommendations for sharing network data and materials. Network Science. 12(4). 404–417.
6.
Jiang, Lan, et al.. (2024). Structural balance in real-world social networks: incorporating direction and transitivity in measuring partial balance. Social Network Analysis and Mining. 14(1). 2 indexed citations
7.
Mishra, Shubhanshu, et al.. (2024). Beyond Binary Gender Labels: Revealing Gender Bias in LLMs through Gender-Neutral Name Predictions. 255–268. 2 indexed citations
8.
Jiang, Lan, et al.. (2023). Enhancing structural balance theory and measurement to analyze signed digraphs of real-world social networks. SHILAP Revista de lepidopterología. 4. 9 indexed citations
9.
Hu, Yuerong, et al.. (2023). Complexities of leveraging user-generated book reviews for scholarly research: transiency, power dynamics, and cultural dependency. International Journal on Digital Libraries. 25(2). 317–340. 1 indexed citations
10.
Witt, Andreas, et al.. (2020). Beyond Citations: Corpus-based Methods for Detecting the Impact of Research Outcomes on Society. Language Resources and Evaluation. 6777–6785. 1 indexed citations
11.
Diesner, Jana, et al.. (2019). Enhancing the Measurement of Social Effects by Capturing Morality. 35–45. 35 indexed citations
12.
Mishra, Shubhanshu, et al.. (2018). Self-citation is the hallmark of productive authors, of any gender. PLoS ONE. 13(9). e0195773–e0195773. 81 indexed citations
13.
Diesner, Jana & Kathleen M. Carley. (2018). AutoMap 1.2 : extract, analyze, represent, and compare mental models from texts. Figshare. 3 indexed citations
14.
Diesner, Jana, et al.. (2017). Telling Apart Tweets Associated with Controversial versus Non-Controversial Topics. 32–41. 11 indexed citations
15.
Mishra, Shubhanshu & Jana Diesner. (2016). Semi-supervised Named Entity Recognition in noisy-text. International Conference on Computational Linguistics. 203–212. 20 indexed citations
17.
Diesner, Jana, et al.. (2013). Using the Semantic-Syntactic Interface for Reliable Arabic Modality Annotation. International Joint Conference on Natural Language Processing. 410–418. 7 indexed citations
18.
Landwehr, Peter M., Jana Diesner, & Kathleen M. Carley. (2009). The Words of Warcraft: relational text analysis of quests in an MMORPG. 4 indexed citations
20.
Diesner, Jana, Terrill L. Frantz, & Kathleen M. Carley. (2005). Communication Networks from the Enron Email Corpus “It's Always About the People. Enron is no Different”. Computational and Mathematical Organization Theory. 11(3). 201–228. 150 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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